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A multi-modal training environment for colonoscopy with pressure feedback.
Surg Endosc
December 2024
Department of Electrical and Computer Engineering, Thompson Engineering Building - Western University, 1151 Richmond St, London, ON, N6A 5B9, Canada.
Article Synopsis
- Colonoscopy has a failure rate of 3-5%, highlighting the need for ongoing training and skill development for both trainees and experienced endoscopists to enhance their performance and reduce complications.!* -
- A new hybrid colonoscopy training simulator combines physical and virtual elements to visualize pressure applied during procedures, providing quantitative feedback to improve skills among 33 study participants, including both trainees and experts.!* -
- Results show that trainees apply significantly higher pressure than experts, especially in the recto-sigmoid area, demonstrating the simulator's effectiveness as a learning tool, with participants agreeing on its usability and potential impact on training programs.!*
Impact of Situation Awareness Variations on Multimodal Physiological Responses in High-Speed Train Driving.
Brain Sci
November 2024
State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, Beijing 100044, China.
Background: In safety-critical environments, human error is a leading cause of accidents, with the loss of situation awareness (SA) being a key contributing factor. Accurate SA assessment is essential for minimizing such risks and ensuring operational safety. Traditional SA measurement methods have limitations in dynamic real-world settings, while physiological signals, particularly EEG, offer a non-invasive, real-time alternative for continuous SA monitoring.
View Article and Find Full Text PDFA Practical Guide to Manual and Semi-Automated Neurosurgical Brain Lesion Segmentation.
NeuroSci
September 2024
Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London WC1N 3BG, UK.
Article Synopsis
- - The article serves as a practical guide for neurosurgical trainees and researchers on how to segment images of common cranial lesions like meningioma, GBM, and SAH using both manual and semi-automated methods.
- - Medical images were sourced from established databases and processed using software like MRIcron and ITK-SNAP, with expert reviews ensuring quality control.
- - The developed pipeline includes step-by-step guidance, video recordings, and solutions to challenges, highlighting that while semi-automated methods improve efficiency, manual segmentation remains valuable for training and specific cases.
Novel multimodal sensing and machine learning strategies to classify cognitive workload in laparoscopic surgery.
Eur J Surg Oncol
October 2024
Hamlyn Centre for Robotic Surgery, Imperial College London, London, SW7 2AZ, UK; Department of Surgery and Cancer, St Mary's Hospital, Imperial College London, London, UK. Electronic address:
Background: Surgeons can experience elevated cognitive workload (CWL) during surgery due to various factors including operative technicalities and the environmental demands of the operating theatre. This can result in poorer outcomes and have a detrimental effect on surgeon well-being. The objective measurement of CWL provides a potential solution to facilitate classification of workload levels, however results are variable when physiological measures are used in isolation.
View Article and Find Full Text PDFBarriers to Implementing a Quality Improvement Program in Low- and Middle-Income Countries: Adequacy of Resources.
JCO Glob Oncol
October 2024
Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA.
Low- and middle-income countries (LMICs) report disproportionally worse cancer mortality. Current global cancer control efforts focus predominantly on expanding access to multimodality treatment for patients, whereas less attention has been spent on implementing strategies to ensure sustained quality assessment and improvement across the cancer care continuum. The goal of this focused review was to examine specific resource barriers to the development and implementation of quality improvement programs in LMICs.
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